SOTAVerified

Machine Translation

Machine translation is the task of translating a sentence in a source language to a different target language.

Approaches for machine translation can range from rule-based to statistical to neural-based. More recently, encoder-decoder attention-based architectures like BERT have attained major improvements in machine translation.

One of the most popular datasets used to benchmark machine translation systems is the WMT family of datasets. Some of the most commonly used evaluation metrics for machine translation systems include BLEU, METEOR, NIST, and others.

( Image credit: Google seq2seq )

Papers

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Showing 4001–4050 of 10752 papers

TitleStatusHype
First Steps in Using Word Senses as Contextual Features in Maxent Models for Machine Translation—0
First Steps Towards Coverage-Based Document Alignment—0
Document-level Neural Machine Translation Using Dependency RST Structure—0
First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models—0
Beyond Words: Deep Learning for Multiword Expressions and Collocations—0
Five Shades of Noise: Analyzing Machine Translation Errors in User-Generated Text—0
An Exploration of Discourse-Based Sentence Spaces for Compositional Distributional Semantics—0
Fixed Encoder Self-Attention Patterns in Transformer-Based Machine Translation—0
Fixed-Point Back-Propagation Training—0
Fix-Filter-Fix: Intuitively Connect Any Models for Effective Bug Fixing—0
Fixing MoE Over-Fitting on Low-Resource Languages in Multilingual Machine Translation—0
Document-Level Neural Machine Translation Using BERT as Context Encoder—0
Document-level Neural Machine Translation with Associated Memory Network—0
FJWU Participation for the WMT21 Biomedical Translation Task—0
Beyond Word-based Language Model in Statistical Machine Translation—0
Document-level Neural Machine Translation with Document Embeddings—0
An Exploration of Data Augmentation Techniques for Improving English to Tigrinya Translation—0
Flexible Customization of a Single Neural Machine Translation System with Multi-dimensional Metadata Inputs—0
Flexible Non-Autoregressive Neural Machine Translation via Repositioning Edit Operations—0
Florenz: Scaling Laws for Systematic Generalization in Vision-Language Models—0
Flow-Adapter Architecture for Unsupervised Machine Translation—0
A Framework for Hierarchical Multilingual Machine Translation—0
A corpus of German political speeches from the 21st century—0
Document-Level Machine Translation with Word Vector Models—0
Fluency Over Adequacy: A Pilot Study in Measuring User Trust in Imperfect MT—0
FLuRKA: Fast and accurate unified Low-Rank & Kernel Attention—0
Document-Level Machine Translation Evaluation Project: Methodology, Effort and Inter-Annotator Agreement—0
Document-Level Machine Translation Evaluation with Gist Consistency and Text Cohesion—0
Beyond Vanilla Fine-Tuning: Leveraging Multistage, Multilingual, and Domain-Specific Methods for Low-Resource Machine Translation—0
Document-Level Language Models for Machine Translation—0
Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation—0
Focus on the Target’s Vocabulary: Masked Label Smoothing for Machine Translation—0
Document-Level Information as Side Constraints for Improved Neural Patent Translation—0
Beyond the C: Retargetable Decompilation using Neural Machine Translation—0
FooTweets: A Bilingual Parallel Corpus of World Cup Tweets—0
Forced Derivations for Hierarchical Machine Translation—0
Forced Derivation Tree based Model Training to Statistical Machine Translation—0
Forecasting future action sequences with attention: a new approach to weakly supervised action forecasting—0
Document Level Hierarchical Transformer—0
Foreign Words and the Automatic Processing of Arabic Social Media Text Written in Roman Script—0
Forest-Based Neural Machine Translation—0
Forest Reranking through Subtree Ranking—0
Document-Level Adaptation for Neural Machine Translation—0
Formal Basis of a Language Universal—0
Formalising the Swedish Constructicon in Grammatical Framework—0
An Explainable Adversarial Robustness Metric for Deep Learning Neural Networks—0
A Framework for Discriminative Rule Selection in Hierarchical Moses—0
Formemes in English-Czech Deep Syntactic MT—0
Forming Trees with Treeformers—0
Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus—0
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All datasetsWMT2014 English-GermanWMT2014 English-FrenchIWSLT2014 German-EnglishACESWMT2016 English-RomanianWMT2016 Romanian-EnglishWMT2014 German-EnglishIWSLT2015 German-EnglishWMT2016 English-GermanIWSLT2015 English-VietnameseIWSLT2015 English-GermanWMT2016 German-English

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Transformer Cycle (Rev)BLEU score35.14—Unverified
2Noisy back-translationBLEU score35—Unverified
3Transformer+Rep(Uni)BLEU score33.89—Unverified
4T5-11BBLEU score32.1—Unverified
5BiBERTBLEU score31.26—Unverified
6Transformer + R-DropBLEU score30.91—Unverified
7Bi-SimCutBLEU score30.78—Unverified
8BERT-fused NMTBLEU score30.75—Unverified
9Data Diversification - TransformerBLEU score30.7—Unverified
10SimCutBLEU score30.56—Unverified
#ModelMetricClaimedVerifiedStatus
1Transformer+BT (ADMIN init)BLEU score46.4—Unverified
2Noisy back-translationBLEU score45.6—Unverified
3mRASP+Fine-TuneBLEU score44.3—Unverified
4Transformer + R-DropBLEU score43.95—Unverified
5Transformer (ADMIN init)BLEU score43.8—Unverified
6AdminBLEU score43.8—Unverified
7BERT-fused NMTBLEU score43.78—Unverified
8MUSE(Paralllel Multi-scale Attention)BLEU score43.5—Unverified
9T5BLEU score43.4—Unverified
10Local Joint Self-attentionBLEU score43.3—Unverified
#ModelMetricClaimedVerifiedStatus
1PiNMTBLEU score40.43—Unverified
2BiBERTBLEU score38.61—Unverified
3Bi-SimCutBLEU score38.37—Unverified
4Cutoff + Relaxed Attention + LMBLEU score37.96—Unverified
5DRDABLEU score37.95—Unverified
6Transformer + R-Drop + CutoffBLEU score37.9—Unverified
7SimCutBLEU score37.81—Unverified
8Cutoff+KneeBLEU score37.78—Unverified
9CutoffBLEU score37.6—Unverified
10CipherDAugBLEU score37.53—Unverified
#ModelMetricClaimedVerifiedStatus
1HWTSC-Teacher-SimScore19.97—Unverified
2MS-COMET-22Score19.89—Unverified
3MS-COMET-QE-22Score19.76—Unverified
4KG-BERTScoreScore17.28—Unverified
5metricx_xl_DA_2019Score17.17—Unverified
6COMET-QEScore16.8—Unverified
7COMET-22Score16.31—Unverified
8UniTE-srcScore15.68—Unverified
9UniTE-refScore15.38—Unverified
10metricx_xxl_DA_2019Score15.24—Unverified